Chinese Medical E-ournals Database

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2018, Vol. 14 ›› Issue (05): 521 -526. doi: 10.3877/cma.j.issn.1673-5250.2018.05.005

Special Issue:

Original Article

Application values of transport risk index of physiologic stability in assessment of illness severity of premature infants

Min Wang1, Qin Zhou1, Shanyu Jiang1, Yingzi Mei1, Yaqin Tao1, Ping Li1, Juan Yin1, Renqiang Yu1,()   

  1. 1. Department of Neonatology, Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi 214002, Jiangsu Province, China
  • Received:2017-10-30 Revised:2018-07-20 Published:2018-10-01
  • Corresponding author: Renqiang Yu
  • About author:
    Corresponding author: Yu Renqiang, Email:
  • Supported by:
    Jiangsu Provincial Maternal and Child Health Care Key Discipline Construction Program(FXK201213); Medical Key Discipline Construction Program of Wuxi Municipal " Science and Education Strengthening Health Engineering"(ZDXK003); Medical Young Talent Project of Wuxi Municipal " Science and Education Strengthening Health Engineering"(QNRC039)
Objective

To investigate the values of transport risk index of physiologic stability (TRIPS) at admission to evaluate illness severity and prognosis of preterm infants.

Methods

From July 2014 to December 2016, a total of 130 preterm infants with gestational age < 32 weeks who were hospitalized in the neonatal intensive care unit (NICU) of Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University were selected as research subjects. All preterm infants included in the study were given TRIPS score and neonatal critical illness score (NCIS) at the same time. Pearson correlation analysis was used to analyze the correlation between TRIPS score and NCIS, then the results of NCIS were taken as standard, the receiver operating characteristic (ROC) curve which assessed the severity of preterm infants with TRIPS score was drawn, to get the best cutoff value of TRIPS score in judging the severity of preterm infants. According to this best cutoff value, preterm infants of this study were divided into two groups: the non-critical group (TRIPS score < the best cutoff value) and the critical group (TRIPS score > the best cutoff value). The independent-samples t test, Wilcoxon rank sum test and chi-square test were used to compare the measurement and numeration data of premature birth related complications and clinical outcomes between two groups of preterm infants. This study was in line with World Medical Association Declaration of Helsinki revised in 2013.

Results

①Pearson correlation analytic results showed that there was a linear negative correlation between TRIPS score and NCIS (r=-0.421, P<0.001). ②The ROC curve of evaluation of the severity of preterm infants by TRIPS score showed that the best cutoff value for judging the severity of preterm infants by TRIPS score was 13.5 scores, the area under curve (AUC) was 0.721(95%CI: 0.634-0.807), the sensitivity was 86.5%, and the specificity was 52.6%. ③Grouping results according to the best cutoff value of TRIPS score were 76 preterm infants in non-critical group and 54 cases in critical group. ④The incidence rate of bronchopulmonary dysplasia (BPD) and intracranial hemorrhage of preterm infants in critical group (37.0%, 40.7%) were all higher than those in non-critical group (15.8%, 15.8%), also the body weight at discharge from NICU and hospital discharge rate based on improved patients′ condition in critical group [(2 025±533) g, 72.2%] were all lower than those in non-critical group [(2 192±267) g, 96.1%], and all the differences were statistically significant (χ2=7.681, P=0.006; χ2=10.176, P=0.001; t=-2.351, P=0.020; χ2=15.441, P<0.001). There were no significant differences between two groups of preterm infants in incidence rate of necrotizing enterocolitis, hospital onset of infection, retinopathy of prematurity (ROP) and duration of hospitalization (P>0.05).

Conclusion

TRIPS score at admission could be used to evaluate illness severity and prognosis of preterm infants.

图1 130例早产儿转运生理稳定指数评分与新生儿危重病例评分的散点图
图2 转运生理稳定指数评分评估早产儿病情危重度的受试者工作特征曲线
表2 2组早产儿相关并发症及临床转归比较
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